Kyurae Kim
11 papers · 2022–2025 · 3 conferences · across top CS/AI conferences
Achievements
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πΊοΈ Taxonomy Completionist (13) π Interdisciplinary Bridge π§ Keyword Pioneer π Conference Polyglot (3) π Cross-Pollinator (14)
π
Keyword Champion
(2)
β‘
Prolific Year
(5)
π
Century Club
(11)
β
The Questioner
Conferences
ICML (4)
NIPS (4)
AISTATS (3)
Top co-authors
Keywords
stochastic gradient descent
(4)
gradient variance
(3)
variational inference
(3)
markov chain monte carlo
(2)
bayesian optimization
(2)
gaussian process
(2)
black-box variational inference
(2)
bayesian inference
(2)
stochastic approximation
(1)
stochastic process
(1)
geometric convergence
(1)
convergence guarantee
(1)
convergence rate
(1)
reparameterization gradient
(1)
acquisition function
(1)
control variate
(1)
langevin algorithm
(1)
entropy estimator
(1)
local optimization
(1)
mean-field parameterization
(1)
Papers
Tuning Sequential Monte Carlo Samplers via Greedy Incremental Divergence Minimization
ICML 2025
Personalized Convolutional Dictionary Learning of Physiological Time Series
AISTATS 2025
Linear Convergence of Black-Box Variational Inference: Should We Stick the Landing?
AISTATS 2024
Stochastic Approximation with Biased MCMC for Expectation Maximization
AISTATS 2024
Approximation-Aware Bayesian Optimization
NIPS 2024
Demystifying SGD with Doubly Stochastic Gradients
ICML 2024
Provably Scalable Black-Box Variational Inference with Structured Variational Families
ICML 2024
Practical and Matching Gradient Variance Bounds for Black-Box Variational Bayesian Inference
ICML 2023
On the Convergence of Black-Box Variational Inference
NIPS 2023
The Behavior and Convergence of Local Bayesian Optimization
NIPS 2023
Markov Chain Score Ascent: A Unifying Framework of Variational Inference with Markovian Gradients
NIPS 2022